Yunsheng Li

Orcid: 0000-0002-3868-7472

According to our database1, Yunsheng Li authored at least 23 papers between 2005 and 2024.

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Bibliography

2024
SynChart: Synthesizing Charts from Language Models.
CoRR, 2024

Pluralistic Salient Object Detection.
CoRR, 2024

Rethinking Visual Prompting for Multimodal Large Language Models with External Knowledge.
CoRR, 2024

2023
SCHEME: Scalable Channer Mixer for Vision Transformers.
CoRR, 2023

Fully Authentic Visual Question Answering Dataset from Online Communities.
CoRR, 2023

Dense Network Expansion for Class Incremental Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Should All Proposals be Treated Equally in Object Detection?
CoRR, 2022

Should All Proposals Be Treated Equally in Object Detection?
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Deep Hashing with Hash-Consistent Large Margin Proxy Embeddings.
Int. J. Comput. Vis., 2021

Revisiting Dynamic Convolution via Matrix Decomposition.
Proceedings of the 9th International Conference on Learning Representations, 2021

MicroNet: Improving Image Recognition with Extremely Low FLOPs.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Dynamic Transfer for Multi-Source Domain Adaptation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Semantic Fisher Scores for Task Transfer: Using Objects to Classify Scenes.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

MicroNet: Towards Image Recognition with Extremely Low FLOPs.
CoRR, 2020

Auto-recognition Pedestrians Research Based on HOG Feature and SVM Classifier for Vehicle Images.
Proceedings of the 2020 IEEE International Conference on Real-time Computing and Robotics, 2020

Explainable Object-Induced Action Decision for Autonomous Vehicles.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Efficient Multi-Domain Network Learning by Covariance Normalization.
CoRR, 2019

Bidirectional Learning for Domain Adaptation of Semantic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Efficient Multi-Domain Learning by Covariance Normalization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017
The study on automatic recognition system of road traffic marking.
Proceedings of the 2017 IEEE International Conference on Real-time Computing and Robotics, 2017

Deep Scene Image Classification with the MFAFVNet.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2014
An Extended Small-Gain Theorem.
CoRR, 2014

2005
Prediction of Fish Motion by Neural Network.
Proceedings of the 3rd International Symposium on Autonomous Minirobots for Research and Edutainment (AMiRE 2005), 2005


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